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Simple and Canonical Correspondence Analysis Using the R Package anacor

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  • de Leeuw, Jan
  • Mair, Patrick

Abstract

This paper presents the R package anacor for the computation of simple and canonical correspondence analysis with missing values. The canonical correspondence analysis is specified in a rather general way by imposing covariates on the rows and/or the columns of the two-dimensional frequency table. The package allows for scaling methods such as standard, Benzécri, centroid, and Goodman scaling. In addition, along with well-known two- and three-dimensional joint plots including confidence ellipsoids, it offers alternative plotting possibilities in terms of transformation plots, Benzécri plots, and regression plots.

Suggested Citation

  • de Leeuw, Jan & Mair, Patrick, 2009. "Simple and Canonical Correspondence Analysis Using the R Package anacor," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 31(i05).
    • Handle: RePEc:jss:jstsof:v:031:i05
    DOI: http://hdl.handle.net/10.18637/jss.v031.i05
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    References listed on IDEAS

    as
    1. de Leeuw, Jan & Mair, Patrick, 2009. "Gifi Methods for Optimal Scaling in R: The Package homals," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 31(i04).
    2. Jan Leeuw & Peter Heijden, 1988. "Correspondence analysis of incomplete contingency tables," Psychometrika, Springer;The Psychometric Society, vol. 53(2), pages 223-233, June.
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    Cited by:

    1. Esmaelian, Majid & Tavana, Madjid & Di Caprio, Debora & Ansari, Reza, 2017. "A multiple correspondence analysis model for evaluating technology foresight methods," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 188-205.
    2. Miguel Gonzalez-Loureiro & Maria José Sousa & Hugo Pinto, 2017. "Culture and innovation in SMEs: the intellectual structure of research for further inquiry," European Planning Studies, Taylor & Francis Journals, vol. 25(11), pages 1908-1931, November.
    3. repec:jss:jstsof:31:i08 is not listed on IDEAS
    4. Lorenzo-Seva, Urbano & van de Velden, Michel & Kiers, Henk A. L., 2009. "CAR: A MATLAB Package to Compute Correspondence Analysis with Rotations," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 31(i08).
    5. Naomichi Makino, 2022. "Rotation in Correspondence Analysis from the Canonical Correlation Perspective," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1045-1063, September.
    6. André Luiz Romano & Luis Miguel D. F. Ferreira, 2023. "How to transform sustainability practices into organizational benefits? The role of different cultural characteristics," Operations Management Research, Springer, vol. 16(1), pages 192-208, March.
    7. Araceli Galiano-Coronil & Marina Yong Alcedo-Velázquez & Sofía Blanco-Moreno & Luis Bayardo Tobar Pesántez, 2024. "Comparison and positioning of NGOs aimed at children from the perspective of social marketing on Twitter," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
    8. Horst Treiblmaier & Patrick Mair, 2021. "Textual Data Science for Logistics and Supply Chain Management," Logistics, MDPI, vol. 5(3), pages 1-15, August.

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